---
title: "Give Your AI Agent a Design Studio - Imejis.io"
description: "Connect Claude, ChatGPT, Cursor or any MCP agent to Imejis. Your agent writes the copy, now it renders the image: 24 design components, one MCP endpoint, real PNG and SVG out. No screenshots, no design tools."
url: "https://www.imejis.io/agents"
image: "https://www.imejis.io/images/blogs/mcp/agent-launch-hero.jpg"
---

# Give Your AI Agent a Design Studio - Imejis.io

AI Agents · Model Context Protocol

# Give your AI agent a design studio

Your agent already writes the copy. Now it can render the image. Connect Claude, ChatGPT, Cursor or any MCP client to Imejis and it creates, edits and exports real designs on its own. No screenshots, no separate design tool.

[Read the MCP guide](/blogs/tutorials/generate-images-claude-mcp)

https://api.imejis.io/api/mcp

## Discover, design, render

Three MCP tool families turn a prompt into a finished image, and the agent drives all of it.

### Discover

The agent reads get\_design\_guide and list\_component\_types. That's the live catalog of all 24 components, with properties, defaults and ready-made styles, generated from the same registry the renderer validates against. It can never drift.

### Design

It calls create\_design or create\_design\_from\_template, then edits with update\_design to place text, images, charts, QR codes, tables and shapes as structured JSON. preview\_design lets it check its own work before shipping.

### Render

export\_design returns a finished PNG or SVG in one call. get\_render\_url returns a permanent URL that renders fresh per request with field overrides, so the agent wires a template once and every row renders on demand.

## What your agent can make

Every tile below is a live render of a real component, the same output your agent gets back from a single render call. Tap any tile to see its properties and sample JSON.

[chart](/components/chart)[qr](/components/qr)[metric](/components/metric)[rating](/components/rating)[table](/components/table)[treemap](/components/treemap)[barcode](/components/barcode)[progress](/components/progress)

[See all 24 components](/components)

## Try these prompts

Once connected, just ask in plain language. Copy one, paste it into your agent, and it designs and renders the result.

Blog OG image

Create a 1200×630 Open Graph image for a blog post titled “How MCP works”, with our logo top-left and a subtle blue-to-purple gradient. Export it as PNG.

QR code

Generate a QR code that links to https://imejis.io/agents, dark navy on white with rounded modules, and give me the SVG.

Chart from data

Build a bar chart titled “Q1 signups” from this data (Jan 40, Feb 65, Mar 90), brand blue bars, and render it as a PNG.

Reusable certificate

Make a certificate of completion template with a name field and today’s date, then give me a permanent render URL I can call per recipient.

## Connect in 60 seconds

Add one remote MCP server and authorize once over OAuth. Your agent then acts as you. It works with any MCP-enabled client.

Remote MCP endpoint

`https://api.imejis.io/api/mcp`

[Claude1.Settings → Connectors → Add custom connector2.Paste the MCP endpoint and save3.Authorize Imejis over OAuth when promptedFull guide](/blogs/tutorials/generate-images-claude-mcp)[ChatGPT1.Settings → Connectors → add an MCP server2.Enter the endpoint URL3.Sign in to Imejis to authorize accessFull guide](/blogs/tutorials/generate-images-from-chatgpt-mcp)[Cursor1.Settings → MCP → Add new server2.Add the endpoint as a remote server3.Approve the OAuth connectionFull guide](/blogs/tutorials/generate-images-in-cursor-mcp)

## Everything your agent can call

A focused MCP toolset for the whole design lifecycle: discover, create, edit, preview, render and manage assets, plus read-only plan and credit checks.

create\_designcreate\_design\_from\_templateupdate\_designpreview\_designexport\_designget\_render\_urlget\_design\_guidelist\_component\_typeslist\_templatesupload\_fileupload\_fontget\_credit\_balance

[24 components your agent can driveText, images, QR codes, barcodes, tables, ratings, progress, shapes and 12+ chart types including bar, line, pie, radar, sankey, treemap, funnel and candlestick. Each one is fully described to the agent with properties, defaults and ready-to-render sample JSON.Browse the component library](/components)

## Or automate it without an agent

The same render endpoint powers no-code automations. Wire a template once, then feed it data from anywhere.

[n8nTrigger a render from any workflow node, whether a new row, a webhook or a schedule, then drop the returned image into email, Slack or storage.](/blogs/tutorials/n8n-10-image-automation-workflows)[ZapierWire a Zap from your CRM, sheet or form to a single render call. Every new lead, sale or signup becomes a branded image automatically.](/blogs/zapier-integration-generate-dynamic-images)[Make & scriptsHit one endpoint from Make or a cron script with a JSON body of overrides. No webhooks, no polling. The image comes back inline.](/integrations)

## AI agents & MCP FAQ

### What is agent-native image generation?

It means an AI agent can create and render finished images itself, over the Model Context Protocol (MCP), instead of you exporting from a design tool by hand. Your agent already writes the copy. With Imejis it also renders the image, using the same 24 components and templates you'd use in the editor.

### Which AI agents can connect to Imejis?

Any MCP-enabled client. That includes Claude (Desktop and Code), ChatGPT's MCP connectors, Cursor, and custom agents built on the MCP SDK. You authorize once over OAuth 2.0 and the agent acts as you.

### What is the MCP endpoint?

The Imejis MCP server is a Streamable HTTP endpoint at https://api.imejis.io/api/mcp. It advertises a discovery card at https://www.imejis.io/.well-known/mcp/server-card.json, so compatible clients can find and connect to it automatically.

### Does the agent see the same components I do in the editor?

Yes. It's exactly the same 24 component types and 75+ styles. The catalog the agent reads through list\_component\_types is generated from the same registry that powers the editor palette and the component library, so the two can never drift apart.

### How is agent usage billed?

Renders are metered the same way as the API. Discovery, designing and previews are cheap. Each finished export or render-URL request draws from your plan's render quota or credits. You can check the balance from the agent itself with get\_credit\_balance.

## Let your agent design something

100 free renders per month. No credit card required. Connect once and your agent has a full design studio.

[Read the MCP guide](/blogs/tutorials/generate-images-claude-mcp)

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```

```json
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```

```json
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```
